Modeling, identification, and control of a class of nonlinear systems.

Modeling, identification, and control of a class of nonlinear systems.

In this paper, we propose a new fuzzy hyperbolic model for a class of complex systems, which is difficult to model. The fuzzy hyperbolic model is a nonlinear model in nature and can be easily derived from a set of fuzzy rules. It can also be seen as a feedforward neural network model and so we can i...

Descrizione completa

Dettagli Bibliografici
Pubblicato in:IEEE Transactions on fuzzy systems 9, 2 (2001).
Autore principale: Zhang Huaguang
Natura: Articolo
Lingua:English
Soggetti:
BP.
Backpropagation.
Complex systems.
Feedforward neural network model.
Fuzzy hyperbolic model.
Fuzzy rules.
Linear system theory.
Nonlinear system control.
Nonlinear system identification.
Nonlinear system modeling.
Parameter identification.
Stable controller design.